2019
DOI: 10.5120/ijca2019918664
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VLSI Architecture for Optimization Transform Technique based on Compression of ECG Signals

Abstract: The measurement of electrical activity of the heart via electrodes is named as Electrocardiography (ECG). An efficient compression technique using the compressive sensing method is required. Compressive Sensing (CS) holds the promise to be a key for acquisition and reconstruction of sparse signals. The reconstruction of such signals makes sampling rates below Nyquist rate. In this work, a novel framework was proposed that is based on the idea of CS theory for the compression of mother and fetal heart beats. Th… Show more

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Cited by 2 publications
(1 citation statement)
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“…CS strategy significantly transforms the signal into a low dimensional estimation space, in which the number of samples is fewer than the Nyquist rate. It is also known as compressive sensing [4,5]. The rising hypothesis of CS that blends computerized information acquisition with advanced information compression is used to create a novel era of signal recovery frameworks, which work at a signal's natural data rate that is superior to its encompassing information rate [6].…”
Section: Introductionmentioning
confidence: 99%
“…CS strategy significantly transforms the signal into a low dimensional estimation space, in which the number of samples is fewer than the Nyquist rate. It is also known as compressive sensing [4,5]. The rising hypothesis of CS that blends computerized information acquisition with advanced information compression is used to create a novel era of signal recovery frameworks, which work at a signal's natural data rate that is superior to its encompassing information rate [6].…”
Section: Introductionmentioning
confidence: 99%